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# Senior Data Reliability Engineer

- **Company:** ZETA
- **Location:** Bernards, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Bash Shell, Big Data, Cloud Database, Databases, Directed Acyclic Graph (Directed Graphs), Data Architecture, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Database Security, DevOps, Disaster Recovery, Distributed Computing Environment, Fault Tolerance, Monitoring of Systems, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Reliability Engineering, Cloud Services, Prometheus, Workflow Management Systems, Grafana, Database Optimization, Apache Spark, Infrastructure as Code (IaC), Amazon Relational Database Service, Debezium, Information Technology, Performance Monitor, Real Time Data, Apache Kafka, Data Management, Cloudwatch, Terraform, Data Pipelines, Amazon Redshift
- **Published:** October 13, 2026
- **Apply:** https://www.thejobnetwork.com/job/ece524c0-620a-4058-bc9a-bc7fc551863d/senior-data-reliability-engineer

## About the Role

* Deep expertise in PostgreSQL administration and performance tuning, preferably in AWS RDS environments.
 * Strong experience with Debezium, Kafka Connect, ETL frameworks/tools, and enterprise-grade data pipeline architectures.
 * Strong hands-on experience with Amazon Redshift, S3, and cloud-native data platforms.
 * Expertise in Apache Airflow workflow orchestration and operational management.
 * Experience with Apache Spark and large-scale distributed data processing.
 * Strong scripting and automation experience using Python, Bash, or similar languages.
 * Strong experience in Infrastructure as Code (IaC) using Terraform, Crossplane, or equivalent tools.
 * Hands-on experience with monitoring and observability tools such as CloudWatch, Prometheus, Grafana.
 * Strong understanding of cloud database security, compliance, and governance frameworks (e.g., GDPR, HIPAA).
 * Experience designing highly available, fault-tolerant, and scalable cloud database systems.

Experience and Qualifications:

 * Bachelor's degree in computer science, Information Technology, or a related field (master's preferred).
 * 10-12 years of overall experience in database engineering, cloud data infrastructure, or reliability engineering.
 * Minimum 5+ years of hands-on experience with PostgreSQL, including AWS RDS administration.
 * Strong experience in cloud-native data platforms and enterprise-scale production environments.
 * AWS Certified Database - Specialty or relevant cloud certifications preferred.

## Description

As a Senior Data Reliability Engineer, you will be responsible for architecting, scaling, and optimizing enterprise-grade data platforms, including large-scale data lakes and data warehouses built from multiple disparate data sources. This role requires deep expertise in cloud databases, data infrastructure reliability, observability, and automation, with a strong focus on operational excellence, performance, and resilience., * Own the reliability, availability, scalability, and performance of PostgreSQL RDS environments across production and non-production systems.

 * Lead proactive monitoring and observability initiatives for PostgreSQL RDS instances, leveraging tools such as CloudWatch, Prometheus, Grafana, and other enterprise monitoring platforms.
 * Drive advanced PostgreSQL performance tuning, including query optimization, indexing strategies, parameter tuning, and capacity planning.
 * Architect and optimize database backup, disaster recovery, and failover strategies to ensure business continuity and minimal downtime.
 * Own the reliability and operational excellence of Debezium and Kafka Connect ecosystems, ensuring robust real-time data ingestion and delivery.
 * Lead troubleshooting and optimization of ETL workflows and data pipelines, ensuring scalability, reliability, and fault tolerance across data platforms.
 * Oversee Apache Airflow workflow orchestration, ensuring high reliability, SLA adherence, and operational efficiency of production DAGs.
 * Design and implement Infrastructure as Code (IaC) solutions using tools such as Terraform, Crossplane, and automation frameworks to streamline deployments and operational tasks.
 * Lead incident response, root cause analysis, and post-incident reviews for critical production issues.
 * Define and enforce database security standards, including access controls, encryption policies, compliance adherence, and periodic security audits.
 * Partner closely with engineering, DevOps, and data platform teams to optimize data architecture and improve overall platform reliability.
 * Mentor junior engineers and drive best practices across database reliability engineering and cloud data operations.
 * Identify and lead continuous improvement initiatives focused on reliability, automation, scalability, and operational maturity.